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Learning Elastic Stack 6.0

You're reading from   Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787281868
Length 434 pages
Edition 1st Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introducing Elastic Stack FREE CHAPTER 2. Getting Started with Elasticsearch 3. Searching-What is Relevant 4. Analytics with Elasticsearch 5. Analyzing Log Data 6. Building Data Pipelines with Logstash 7. Visualizing data with Kibana 8. Elastic X-Pack 9. Running Elastic Stack in Production 10. Building a Sensor Data Analytics Application 11. Monitoring Server Infrastructure

Writing compound queries

This class of queries can be used to combine one or more queries to come up with a more complex query. Some compound queries convert scoring queries into non-scoring queries, and combine multiple scoring and non-scoring queries. We will look at the following compound queries:

  • Constant score query
  • Bool query

Constant score query

Elasticsearch supports querying both structured data and full text. While full-text queries need scoring mechanisms to find the best matching documents, structured searches don't need scoring. The constant score query allows us to convert a scoring query which normally runs in query context to a non-scoring filter context. The constant score query...

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